As mentioned in the previous topic, LB does not process past or future data, but is a great tool to collect fragments of data pertaining to tasks or events, which are collected on multiple occasions in the past, and store them as accumulated information, a process I call "LB Information Accumulation", so that when its related task or event is encountered again, it can recall such information and supply it to VP when required in accumulated form (using parallel LB Monologue –
more under title Parallel LB Monologue). E.g. when you learn to ride a bicycle, LB keeps collecting balancing information every time you maintain the balance using real time balancing data supplied by VP (as physical actions are guided by VP) and stores it in accumulated form in LB memory.

To maintain balance in similar situations at later stages, LB recalls and utilizes such accumulated information. At the same time, if you start losing balance in a situation which was not accumulated, LB hands over the balancing task to VP, upon success of which, LB adds such new balancing information in the balancing information accumulated so far. As the balancing act is maintained by LB, you are not conscious of it, unless in the case of losing balance, which is when you become conscious of it, as that is when VP swings into action.

Besides being available in accumulated form, each successful use of such information strengthens memory related to it in LB, while unsuccessful use weakens the same. E.g., when a person is learning juggling, each successful move strengthens the memory related to it, while each unsuccessful move weakens it. It is such bit-by-bit accumulation of strong memories contributed by successful moves that makes it possible for a juggler to be more accurate and venture into more complex juggling as he practices.